Stochastic dynamic behaviour of hydrodynamic journal bearings including the effect of surface roughness
Stochastic dynamic behaviour of hydrodynamic journal bearings including the effect of surface roughness
This paper investigates the stochastic behaviour of hydrodynamic journal bearings by solving the Reynolds equation with random parameters numerically based on finite difference method. The steady state and dynamic characteristics are quantified considering random variabilities in eccentricity and surface roughness that can closely simulate the uncertain service conditions and inevitable manufacturing imperfections. Based on efficient radial basis function, a Monte Carlo simulation (MCS) algorithm is developed in conjunction with the governing equations for quantifying stochastic characteristics of the crucial performance parameters concerning hydrodynamic bearings. Relative sensitivity to stochasticity for different performance parameters is analysed. Physically insightful new results are presented in a probabilistic framework, wherein it is observed that the stochasticity has pronounced influence on the performance of bearing.
Hydrodynamic journal bearing, RBF based MCS, Relative sensitivity, Stochasticity
370-383
Maharshi, K.
9ac5546d-53f3-4b33-b302-b58ebaec61c7
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Roy, B.
c68dcd18-f355-4860-8868-962b4c97cc07
Roy, L.
51d8e699-f9c0-4735-a3d1-405361ecab2a
Dey, S.
3966cae6-a16e-4ef8-9434-cdf9edc87877
July 2018
Maharshi, K.
9ac5546d-53f3-4b33-b302-b58ebaec61c7
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Roy, B.
c68dcd18-f355-4860-8868-962b4c97cc07
Roy, L.
51d8e699-f9c0-4735-a3d1-405361ecab2a
Dey, S.
3966cae6-a16e-4ef8-9434-cdf9edc87877
Maharshi, K., Mukhopadhyay, T., Roy, B., Roy, L. and Dey, S.
(2018)
Stochastic dynamic behaviour of hydrodynamic journal bearings including the effect of surface roughness.
International Journal of Mechanical Sciences, 142-143, .
(doi:10.1016/j.ijmecsci.2018.04.012).
Abstract
This paper investigates the stochastic behaviour of hydrodynamic journal bearings by solving the Reynolds equation with random parameters numerically based on finite difference method. The steady state and dynamic characteristics are quantified considering random variabilities in eccentricity and surface roughness that can closely simulate the uncertain service conditions and inevitable manufacturing imperfections. Based on efficient radial basis function, a Monte Carlo simulation (MCS) algorithm is developed in conjunction with the governing equations for quantifying stochastic characteristics of the crucial performance parameters concerning hydrodynamic bearings. Relative sensitivity to stochasticity for different performance parameters is analysed. Physically insightful new results are presented in a probabilistic framework, wherein it is observed that the stochasticity has pronounced influence on the performance of bearing.
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Published date: July 2018
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Funding Information:
The first and third authors would like to acknowledge the financial support received from Ministry of Human Resource and Development, Govt. of India, during the period of this research work.
Publisher Copyright:
© 2018 Elsevier Ltd
Keywords:
Hydrodynamic journal bearing, RBF based MCS, Relative sensitivity, Stochasticity
Identifiers
Local EPrints ID: 483558
URI: http://eprints.soton.ac.uk/id/eprint/483558
ISSN: 0020-7403
PURE UUID: 4bf7ff0c-3087-4189-be52-754b88518252
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Date deposited: 01 Nov 2023 18:01
Last modified: 18 Mar 2024 04:10
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Contributors
Author:
K. Maharshi
Author:
T. Mukhopadhyay
Author:
B. Roy
Author:
L. Roy
Author:
S. Dey
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